NDLI: Research of Model Structure Selection Based on Genetic Algorithm

Content Provider	IEEE Xplore Digital Library
Author	Yang Dalei Hu Qinghe Xu Jiazhuo Chen Weidong
Copyright Year	2008
Description	Author affiliation: Coll. of Inf. Sci. & Eng., Northeastern Univ., Shenyang (Hu Qinghe) \|\| BaoSteel Ind. Inspection Corp., Shanghai (Yang Dalei; Xu Jiazhuo; Chen Weidong)
Abstract	Model management is the key of the success and practicality of decision-making support system. As the base of model management, model selection plays an important role in model management. In model selection, automatic binary decision tree construction based on genetic algorithm for model selection is proposed. In binary decision tree, each terminal node corresponds to a specific data type and represents a specific model. The decision function of non-terminal node is used to decide path until the model structure is determined. The method has been successfully adopted to quality defect diagnosis warning model management of a steel company.
Starting Page	132
Ending Page	135
File Size	350489
Page Count	4
File Format	PDF
ISBN	9780769534978
DOI	10.1109/IITA.2008.563
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-12-20
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Model Structure Selection Decision making Genetic Algorithm Predictive models Inspection Educational institutions Vectors Intelligent structures Information technology Genetic algorithms Binary Decision Tree Decision-Making Support System Decision trees Classification tree analysis
Content Type	Text
Resource Type	Article

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